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            	{"first" : "Amy",	"last" : "Lapidow"},
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            	{"first" : "Christoph",	"last" : "Stach"},
            	{"first" : "Frank",	"last" : "Dürr"},
            	{"first" : "Kai",	"last" : "Mindermann"},
            	{"first" : "Saravana Murthy",	"last" : "Palanisamy"},
            	{"first" : "Stefan",	"last" : "Wagner"}
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         "editor": [ 
            "George Roussos","Achilles Kameas","Pascal Hirmer","Timo Sztyler","Jadwiga Indulska"
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            	{"first" : "George",	"last" : "Roussos"},
            	{"first" : "Achilles",	"last" : "Kameas"},
            	{"first" : "Pascal",	"last" : "Hirmer"},
            	{"first" : "Timo",	"last" : "Sztyler"},
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         "pages": "238\u2013243","abstract": "As Smart Devices have access to a lot of user-preferential data, they come in handy in any situation. Although such data\u2014as well as the knowledge which can be derived from it\u2014is highly beneficial as apps are able to adapt their services appropriate to the respective context, it also poses a privacy threat. Thus, a lot of research work is done regarding privacy. Yet, all approaches obfuscate certain attributes which has a negative impact on context recognition and thus service quality. Therefore, we introduce a novel access control mechanism called PATRON. The basic idea is to control access to information patterns. For instance, a person suffering from diabetes might not want to reveal his or her unhealthy eating habit, which can be derived from the pattern \"rising blood sugar level\" → \"adding bread units\". Such a pattern which must not be discoverable by some parties (e.g., insurance companies) is called private pattern whereas a pattern which improves an app's service quality is labeled as public pattern. PATRON employs different techniques to conceal private patterns and, in case of available alternatives, selects the one with the least negative impact on service quality, such that the recognition of public patterns is supported as good as possible.",
         "isbn" : "978-1-5386-3228-4",
         
         "doi" : "10.1109/PERCOMW.2018.8480227",
         
         "bibtexKey": "comorea_18_patron"

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         "author": [ 
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            	{"first" : "Fabien",	"last" : "Ringeval"},
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            	{"first" : "Jens",	"last" : "Sauer"},
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         "label" : "The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent",
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            	{"first" : "Walter F",	"last" : "Sendlmeier"},
            	{"first" : "Benjamin",	"last" : "Weiss"}
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         "bibtexKey": "burkhardt2005database"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2970b193e5c2dc8b8c6dbd7614d06c9cb/diglezakis",         
         "tags" : [
            "databases","forschungsdaten","motivation","sharing","software"
         ],
         
         "intraHash" : "970b193e5c2dc8b8c6dbd7614d06c9cb",
         "interHash" : "c1da11ed19223ed9cf11d15d239ca4e8",
         "label" : "How Does One \u201COpen\u201D Science? Questions of Value in Biological Research",
         "user" : "diglezakis",
         "description" : "",
         "date" : "2017-09-12 11:01:57",
         "changeDate" : "2017-09-12 09:01:57",
         "count" : 1,
         "pub-type": "article",
         "journal": "Science, Technology, & Human Values",
         "year": "2017", 
         "url": "/brokenurl# https://doi.org/10.1177/0162243916672071 ", 
         
         "author": [ 
            "Nadine Levin","Sabina Leonelli"
         ],
         "authors": [
         	
            	{"first" : "Nadine",	"last" : "Levin"},
            	{"first" : "Sabina",	"last" : "Leonelli"}
         ],
         "volume": "42","number": "2","pages": "280-305","abstract": "Open Science policies encourage researchers to disclose a wide range of outputs from their work, thus codifying openness as a specific set of research practices and guidelines that can be interpreted and applied consistently across disciplines and geographical settings. In this paper, we argue that this \u201Cone-size-fits-all\u201D view of openness sidesteps key questions about the forms, implications, and goals of openness for research practice. We propose instead to interpret openness as a dynamic and highly situated mode of valuing the research process and its outputs, which encompasses economic as well as scientific, cultural, political, ethical, and social considerations. This interpretation creates a critical space for moving beyond the economic definitions of value embedded in the contemporary biosciences landscape and Open Science policies, and examining the diversity of interests and commitments that affect research practices in the life sciences. To illustrate these claims, we use three case studies that highlight the challenges surrounding decisions about how\u2013\u2013and how best\u2013\u2013to make things open. These cases, drawn from ethnographic engagement with Open Science debates and semistructured interviews carried out with UK-based biologists and bioinformaticians between 2013 and 2014, show how the enactment of openness reveals judgments about what constitutes a legitimate intellectual contribution, for whom, and with what implications.",
         "doi" : "10.1177/0162243916672071",
         
         "eprint" : "https://doi.org/10.1177/0162243916672071",
         
         "bibtexKey": "doi:10.1177/0162243916672071"

      }
	  
   ]
}
